ArticleMolecular & cellular proteomics : MCP2011
Identification of MST1/STK4 and SULF1 proteins as autoantibody targets for the diagnosis of colorectal cancer by using phage microarrays.
Article in Molecular & cellular proteomics : MCP, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.
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Who cites it
33 citing papers in PubMed, 1 synthesis or guideline pooled it, 70 citations in OpenAlex.
- Autoantibodies in cancer: a systematic review of their clinical role in the most prevalent cancers.Frontiers in immunology · 2024Pooled it
- Whole Genome-Derived Tiled Peptide Arrays Detect Prediagnostic Autoantibody Signatures in Non-Small-Cell Lung Cancer.Cancer research · 2019Trial
- MARCHF1-mediated SULF1 degradation blocks THBS2/TGF-β/SMAD2/3 signaling to reverse colon cancer metastasis and 5-FU resistance.iScience · 2026Article
- Rethinking biomarker strategy in gastric cancer immunotherapy: from tumor to host.Frontiers in immunology · 2026Review
- Aptamer-Based Strategies for Colorectal Cancer Detection: Emerging Technologies and Future Directions.Biosensors · 2025Review
- Machine Learning-Integrated Analysis of SULF1, CXCL8, and PBLD Expression as Discriminative Biomarkers for Early Detection and Prognosis in Colorectal Cancer.International journal of general medicine · 2025Article
- Cytokine Antibody Microarray-Based Proteomic Strategies for Characterizing the Dysregulation of Cytokines Disease-Specific.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Protein Microarray Analysis with GenePix.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Article
- A Comprehensive Search of Non-Canonical Proteins in Non-Small Cell Lung Cancer and Their Impact on the Immune Response.International journal of molecular sciences · 2022Article
- Overexpression of DDIT4 and TPTEP1 are associated with metastasis and advanced stages in colorectal cancer patients: a study utilizing bioinformatics prediction and experimental validation.Cancer cell international · 2021Article
- Analysis of Protein-Protein Interactions by Protein Microarrays.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Protein Microarrays for Ocular Diseases.Methods in molecular biology (Clifton, N.J.) · 2021Review
- Phage Microarrays for Screening of Humoral Immune Responses.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Prognostic Value of Circulating IGFBP2 and Related Autoantibodies in Children with Metastatic Rhabdomyosarcomas.Diagnostics (Basel, Switzerland) · 2020Article
- Multiplexed monitoring of a novel autoantibody diagnostic signature of colorectal cancer using HaloTag technology-based electrochemical immunosensing platform.Theranostics · 2020Article
- Exploration of MST1-Mediated Secondary Brain Injury Induced by Intracerebral Hemorrhage in Rats via Hippo Signaling Pathway.Translational stroke research · 2019Article
- The specific seroreactivity to ∆Np73 isoforms shows higher diagnostic ability in colorectal cancer patients than the canonical p73 protein.Scientific reports · 2019Article
- Identification of A Gene Set Associated with Colorectal Cancer in Microarray Data Using The Entropy Method.Cell journal · 2019Article
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Corrections and comments
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Authors and funding
9 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The characterization of the humoral response in cancer patients is becoming a practical alternative to improve early detection. We prepared phage microarrays containing colorectal cancer cDNA libraries to identify phage-expressed peptides recognized by tumor-specific autoantibodies from patient sera. From a total of 1536 printed phages, 128 gave statistically significant values to discriminate cancer patients from control samples. From this, 43 peptide sequences were unique following DNA sequencing. Six phages containing homologous sequences to STK4/MST1, SULF1, NHSL1, SREBF2, GRN, and GTF2I were selected to build up a predictor panel. A previous study with high-density protein microarrays had identified STK4/MST1 as a candidate biomarker. An independent collection of 153 serum samples (50 colorectal cancer sera and 103 reference samples, including healthy donors and sera from other related pathologies) was used as a validation set to study prediction capability. A combination of four phages and two recombinant proteins, corresponding to MST1 and SULF1, achieved an area under the curve of 0.86 to correctly discriminate cancer from healthy sera. Inclusion of sera from other different neoplasias did not change significantly this value. For early stages (A+B), the corrected area under the curve was 0.786. Moreover, we have demonstrated that MST1 and SULF1 proteins, homologous to phage-peptide sequences, can replace the original phages in the predictor panel, improving their diagnostic accuracy.
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